Company Overview

Environmental Intelligence Solutions

Monitoring systems, analytics and advisory for organisations that carry environmental risk. We install the instruments, run the models and hand over data you can act on.

Lahore, PakistanWater, climate and agricultureInstruments built in house

Who We Are

A commercial environmental intelligence company based in Lahore, Pakistan.

10+Years of field expertise
50+Projects delivered
3Service lines
6Instruments in the portfolio

Where we stand

Most organisations facing water risk are working from data that is old, borrowed or incomplete. xWIT was built to fix that. We measure directly, model honestly, and state uncertainty where it exists. That is what makes the work usable in an audit, a negotiation or a regulatory filing. We are independent, commercial, and accountable to the client alone.

What sets xWIT apart

Field Proven

Hardware built and tested for difficult terrain. The CG-100, WaterSense and weather station instruments have been deployed across Pakistan in flood prone canals, remote mountain sites and agricultural fields. Not lab specification equipment used outdoors.

Decision Framed

Every output is tied to a decision you have to make, not a report that sits on a shelf. We ask what you will do when the data says X before a single instrument is installed.

Fast to Mobilise

Environmental decisions are seasonal. Flood season, crop cycle, audit window. xWIT can go from scoping to first data inside one season. Testing, calibration and survey are done in house rather than subcontracted, so the timeline stays with us.

Regional Depth

Methods built for South Asian hydrology and regulation. Pakistan’s irrigation system, NEQS compliance requirements, monsoon hydrology, the Indus cryosphere and Pakistani agricultural seasons are not afterthoughts. They are the design brief.

Independent

Private, commercial, and accountable to the client alone. No affiliation that creates a conflict. When xWIT reports that water quality meets discharge standards, or does not, the number stands on its own and can be submitted to a regulator.

Data You Keep

Raw data and calibration documentation are handed over in full at project close. You are never left dependent on us to interpret your own infrastructure. Operator training is a standard deliverable, not an optional extra.

Four domains of technical expertise

Water Resources and Quality

Catchment assessment, groundwater and surface water monitoring, abstraction auditing and laboratory backed quality analysis. From canal telemetry networks to physicochemical field sampling and NEQS compliance reporting.

Climate and Cryosphere

Snowpack and glacier monitoring, seasonal melt and runoff projection, and long horizon climate risk screening for assets. Automatic weather stations across high altitude and remote catchments throughout Pakistan.

Agriculture and Water Productivity

Crop water accounting, irrigation efficiency audits, and satellite based yield and stress monitoring. Soil moisture sensor networks across farm estates with uptime targets and per farm reporting cycles.

Policy and Advisory

Regulatory strategy, environmental due diligence, feasibility studies and independent technical review. Outputs formatted for regulatory submissions, donor reports, audit packages and feasibility decisions.

Three Service Lines

Engage one or run the full chain, as a study, a project or a retainer. Full detail on the services and products page.

Service 01

Monitoring Systems

Field instrumentation for water level, flow, weather, soil moisture and quality, with telemetry built around your reporting cycle. xWIT owns the equipment, installs it, calibrates it and maintains it. You receive a live dashboard and alerts, not hardware to manage.

Site survey and network design
Installation and calibration
Telemetry and data logging
Live dashboard and alerting
Maintenance schedule
Uptime reporting
Service 02

Analytics and Modelling

Hydrological and climate modelling, remote sensing and forecasting that converts measurement into scenarios you can plan against. This is the layer that turns data into decisions. A flow reading becomes a flood exceedance probability. A soil moisture series becomes an irrigation recommendation. A satellite image becomes a crop stress index.

Water balance models
Remote sensing analysis
Flood and drought scenarios
Seasonal forecasting
Risk and exposure mapping
Uncertainty documentation
Service 03

Advisory and Training

Regulatory strategy, feasibility work, independent review and hands on operator training so your team can run what we hand over. Due diligence that holds up in a regulatory filing. Feasibility that does not gloss over the hard numbers. Independent review that will say no when the evidence says no.

Environmental due diligence
Feasibility and options studies
Regulatory strategy
Independent technical review
Operator training
Report and dataset handover

Instrument Portfolio

Built in house. Buy the unit, deploy it as a managed network, or license the platform into systems you already run.

Model CG-100

Digital Canal Gauge

Non contact sonar level sensor for canal network monitoring. Replaces manual readings with live telemetry.

UltrasonicGSMIP671 year unattended
SensorUltrasonic sonar, non contact
Level range0.3 m to 5 m
Resolution1 mm
Accuracy+/- 3 mm, temperature compensated
ConnectivityGSM GPRS, external antenna, TCP/IP
Sampling10 min default, 1 min minimum
Transmission60 min default, 1 min minimum
Data storage400 samples plus live web dashboard
EnclosureIP67, optional steel housing
Power2x 3.6 V 14 Ah Li-Ion, 1 year at default
DiagnosticsUSB to PC, Hydrometry Toolbox
ExpandableYes, auxiliary sensors such as humidity

Typical Applications

  • Canal network water level monitoring
  • Replacing manual gauge readers
  • Distributary canal Warabandi compliance
  • Real time situational awareness for canal operators
  • Irrigation telemetry programmes
  • Regulator and irrigation department reporting
Modular Sensor Suite

IoT Automatic Weather Station

Multi parameter weather and climate monitoring. Modular sensors for agricultural and high altitude deployments.

GSM and LoRaSolarIP671 year unattended
Temperature-20 to 80 C, +/- 0.5 C accuracy
Humidity0 to 80% RH, +/- 3% RH
RainfallPulse output, 0.33 mm per pulse
Wind speedPulse, 2 readings per rotation
Wind direction360 degrees, 22.5 degree resolution
Solar radiation0 to 2000 W/m2, thermopile
Soil moisture0 to 100% VWC, +/- 0.03 m3/m3
Level sensorUltrasonic, 0.3 to 10 m, 1 mm resolution
Add onsSnow depth, stream level and discharge, snow and soil moisture
ConnectivityGSM GPRS plus LoRa 433 MHz
Power2x 3.6 V 14 Ah Li-Ion, solar compatible

Typical Applications

  • Agricultural operations planning
  • Climate resilience baselines
  • High altitude and remote catchment monitoring
  • Flood early warning networks
  • Snowpack and glacier melt monitoring
  • Climate resilience programmes
WaterSense

Soil Moisture Sensor

A permanently installed sensor that reports soil water content in real time and tells you when to irrigate and when to hold.

GSM and LoRaIP671 year batteryMobile app
SensingCapacitance, volumetric water content
VWC range0 to 100%
Accuracy+/- 0.03 m3/m3
Resolution0.001 m3/m3 in mineral soils
AlertsAutomated irrigate or hold notifications
ConnectivityGSM GPRS plus LoRa 433 MHz, 1 km line of sight
Data storageSD card plus online web dashboard
Sampling20 min default, 1 min minimum
EnclosureIP67
Power2x 3.6 V 14 Ah Li-Ion, 1 year, solar compatible

Typical Applications

  • Irrigation scheduling on sugarcane, wheat and cotton
  • Reducing irrigation cycles without yield loss
  • Corporate water stewardship programmes
  • Alternate wetting and drying rice programmes
  • Smallholder farmer programmes
  • Water accounting across a farm or irrigation scheme
Smart AWD

AWD Tube for Paddy Fields

Makes alternate wetting and drying practical to run at scale, without a yield penalty.

LoRaIP671 year batteryMobile app
Sensing pointsUp to 3 depth levels per tube
Alert threshold15 cm below soil surface, re-flood to 5 cm
OperationOperator independent, no skill dependency
ConnectivityLoRa telemetry, multi sensor mobile app
PowerHigh energy density batteries, up to 1 year
EnclosureIP67

Typical Applications

  • Rice and paddy irrigation control
  • Alternate wetting and drying programmes
  • Food company rice supply chain programmes
  • Scheme level irrigation cost reduction
  • Water saving in rice production
Edge AI

All Purpose AI Camera

IoT camera with onboard edge computing for remote environmental monitoring where bandwidth and mains power are scarce.

Edge AIGSMSolarIP67
Edge computingOnboard AI compresses data for low bandwidth transmission
ConnectivityGSM cloud connectivity for remote deployment
PowerSolar rechargeable with power management
EnclosureIP67, all weather operation

Typical Applications

  • Trash and debris monitoring in water channels
  • Biodiversity monitoring in forests
  • Agricultural pest detection
  • Perimeter security and traffic monitoring
Android Application

Forest Health Monitoring App

AI powered forest inventory from mobile camera imagery. No additional instrument required.

AndroidAI visionCloud
AI functionsTree identification, segmentation, height estimation
MeasurementHeight and diameter at breast height via mobile camera
MethodDistance method, mobile camera imagery
CaptureTarget tree image cropping in app
CoverageSingle tree to whole forest area
CloudAggregate forest inventory, biomass and carbon estimation

Typical Applications

  • Forest asset inventory
  • Carbon sequestration estimation
  • Carbon credit verification
  • Forest department monitoring

Applied Programmes

Field programmes designed, installed and run beyond the standard instrument portfolio. Each one can be scoped as a study, a project or a monitoring retainer.

Cryosphere and Early Warning

Snow Melt Monitoring for Flood Forecasting

A high altitude catchment at Gabin Jabba in Swat, instrumented at two elevations. The upper station reports snow depth, melt rate, rainfall, temperature and humidity. The lower station reports stream level and flow. Together they turn snow melt into an early warning signal for flash flood and drought in the valleys below, in a region where melt water is the irrigation supply for Punjab, Sindh and KPK.

Snow depth and melt rate
Rainfall, temperature, humidity
Stream level and flow
Multi elevation station design
Flash flood and drought alerting
Reservoir Hydrology

Flood Prediction for Small Dams

In situ sensing at Namal Lake in Mianwali, paired with data driven modelling that forecasts reservoir level from rainfall and spillway gate operation. Flood risk is calculated before the event rather than reported after it, so mitigation can be planned while there is still time to act. The same network extends downstream toward canal outlets to support demand based irrigation.

Reservoir level sensing
Rainfall driven forecasting
Spillway operation modelling
Flood risk and mitigation planning
Canal outlet extension
Water Quality

Water Quality Surveillance

A drifting sensor that travels with the current and logs readings against GPS position, so the output is a pollution gradient along a drain, canal, stream or river rather than a single point sample. Useful where untreated industrial discharge, urban waste, pesticide runoff and animal waste all enter the same channel and the question is which stretch is the source.

pH
Dissolved oxygen
Electrical conductivity
Oxidation reduction potential
Temperature
Turbidity
GPS tagged readings
Groundwater

Groundwater Recharge Interventions

Schemes that return water to a depleted aquifer instead of discharging it, delivered as ablution water recycling at a mosque in Lahore and as rainwater harvesting at an industrial estate at Sunder. Each is paired with groundwater modelling and recharge estimation, so the volume returned is measured and can be carried into a stewardship report or a compliance filing rather than asserted.

Ablution water recycling
Rainwater harvesting
Aquifer recharge design
Groundwater modelling
Recharge volume estimation
Air Quality and Crop Yield

Air Quality Monitoring in Agricultural Fields

An automated instrument suite deployed on farms at Bedian and Okara across full winter wheat cycles, measuring ground level ozone alongside temperature, humidity, wind speed, soil moisture and soil temperature. The work links rural ozone exposure to yield loss and relates city monitoring station readings to conditions in the field, which is where the crop actually sits.

Ozone concentration
Temperature and humidity
Wind speed
Soil moisture and temperature
Crop yield impact analysis
Automated data processing

Scoping any of these

Every programme here runs on instruments xWIT builds, installs and maintains, so a deployment can start at a single site and grow into a network without changing supplier. Contact us for scope and pricing.

Client Deployments

Live, active networks with published numbers.

Nestle Pakistan

North and South Punjab
19Farms monitored
98Sensors installed
22Gateways
90 to 100%Uptime target
QuarterlySite visits

Scope: Soil moisture monitoring across 19 farms in Punjab. xWIT operates and maintains the installed WaterSense sensor network to a 90 to 100 percent uptime target. The service includes quarterly site visits and per farm reporting on a structured cycle.

Delivered: WaterSense soil moisture sensor network with GSM and LoRa telemetry, mobile dashboard, automated irrigation alerts and a maintenance retainer.

On site
Close up of a WaterSense soil moisture node and antenna mounted on a field mast in a Punjab crop plot
WaterSense node and antenna on a field mast
Field engineer checking a WaterSense soil moisture node from a laptop during a routine site visit
Routine service visit, node checked against a field laptop
WaterSense soil moisture node on a mast in a green fodder field in Punjab under a clear sky
Node reporting from a fodder plot between irrigations
Field engineer with a laptop standing beside a tall WaterSense telemetry mast in a green fodder plot
Telemetry mast checked on a site walk
WaterSense soil moisture node mounted beside a young citrus tree in a drip irrigated orchard on sandy soil
Node beside a young citrus tree on drip irrigation
Solar powered water level gauge mounted on a steel frame over a lined concrete watercourse beside a wheat field
Solar powered gauge over a lined watercourse

FAO Pakistan

Khanewal, Punjab and Sanghar, Sindh
5Canal gauges installed
2Provinces
3Gauge wells built
3Wells rebuilt
18Maintenance visits

Water level monitoring on minor canals and watercourses under the FAO programme GCP/146/PAK/GCF, delivered across two provinces. xWIT supplied and bench tested the instruments, built the gauge wells, installed and commissioned the network, set up the data portal, and trained the operators who run it. One accountable party from civil works through to handover.

What we delivered

Khanewal, Punjab

  • Water level instruments for minor canals and watercourses, bench and field tested before deployment
  • Gauge well material and civil works at three sites
  • Installation and commissioning of five canal gauges on minor canals
  • Live data portal for the sensor network
  • Operator training on watercourse level sensors
  • Ten scheduled follow up maintenance visits

Sanghar, Sindh

  • Water level sensors and field hardware for watercourses
  • Installation and commissioning on minor canals
  • Data portal for the watercourse sensor network
  • Flow sensor procurement
  • Operator training on watercourse level sensors
  • Eight scheduled follow up maintenance visits
Gauge well amendment works

Three gauge wells in Khanewal were rebuilt so that the instrument holds a reading across the full range of canal flow. Well height was raised by 1.5 feet. The two 4 inch pipes were replaced with 5 inch concrete pipes and a third pipe was added so the well reaches full supply level. A silt pocket of 6 to 8 inches was formed at the base to keep sediment clear of the sensor.

On site
Protected water level telemetry station on a lined minor canal in Khanewal
Protected telemetry station on a lined minor canal
xWIT team installing a solar powered water level sensor inside a gauge well
Solar powered sensor installed inside a gauge well
Manual tape measurement taken against an installed water level sensor for calibration
Manual reference reading taken against the sensor
Reference staff gauge used to calibrate a canal water level sensor
Reference staff gauge used for calibration
Staff gauge board on a canal gauge well showing water level in feet
Gauge board reading on a rebuilt canal well
Discharge measurement at a lined watercourse using a current meter and float
Discharge measurement at a watercourse site
xWIT engineers verifying canal water level data at a telemetry station in Khanewal, Punjab
Data verification during commissioning

Who We Serve

Four kinds of organisation, each with a different reason for needing independent measurement.

Enterprises

Industry, energy and agribusiness managing water dependency or environmental liability. Textile mills, sugar mills, food processors, pharmaceutical manufacturers and energy producers who discharge into waterways or draw from canal and groundwater systems. The usual drivers are NEQS compliance, ESG reporting, supply chain water risk and export certification.

Government

Ministries, irrigation departments, utilities and provincial environment agencies that need measurement they can defend. Independent data carries weight in allocation disputes, enforcement and public reporting precisely because it does not come from an interested party.

Multilaterals and Development Funders

Development banks and programme funders that require independent measurement and verification. Our work with FAO in Khanewal is the reference. The requirement is usually data quality that stands up in a programme audit or a regulatory submission, backed by calibration records and a documented method.

NGOs and Implementing Organisations

Organisations that need rigorous evidence for donor reporting and monitoring frameworks. Water quality surveillance and soil sensor deployments produce numbers that can be cited in a published report, with the calibration trail to support them.

Engagement Models

Three ways to work with xWIT.

Model A

Study

A defined question answered once, with a report and dataset delivered. Scoped, priced and delivered as a fixed output, with no ongoing obligation on either side.

Best for: feasibility questions, baseline surveys, NEQS compliance audits, pre project assessments, independent technical review and due diligence. You have a question and need an answer you can file, publish or act on.
Model B

Project

Design and build of a monitoring or modelling system, handed over on completion. xWIT designs, builds, installs, calibrates and hands over with operator training. You then run it.

Best for: canal gauge networks, weather station deployments, water quality surveillance networks, and GIS and remote sensing platforms. Suits organisations that want the infrastructure and have the internal capacity to operate it.
Model C

Retainer

xWIT operates the system, maintains calibration and reports on your cycle. You receive data and reports. We carry responsibility for uptime. The Nestle Pakistan deployment runs on this model.

Best for: corporate water stewardship programmes, regulatory compliance monitoring and long term programme monitoring. Suits organisations that want the data without the responsibility for the infrastructure.
How we deliver
1

Discovery

Map the decision, the data that already exists, and the gap. Our engineers ask what the data will be used for and where the gaps are. The output is a scope with enough specificity to price against.

2

Design

Network layout, model selection and reporting format agreed before anything is bought. Instrument type, count, placement, telemetry configuration and reporting cycle are settled with you before procurement begins. No surprises on delivery.

3

Build

Instruments installed and calibrated, models validated, dashboards live on real data. Assembly and calibration happen in our instrumentation workshop and installation is handled by our field survey unit. Dashboards go live on actual site data, not demonstration data.

4

Monitor

Ongoing operation and reporting, with a defined handover path to your team. On a retainer we operate and report. On a project a structured handover with operator training closes the work. Raw data and calibration logs are handed over in full.

Tell us what you need to measure.

Send the requirement in a paragraph and we will come back with a scope, a timeline and a cost.

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